OpenAI Launched Sora Which Can Create Video from Text Credit: https://openai.com/sora Suppose you are making a video and there are scenes you can not shoot, do not worry. Sora an A. I. model which can generate videos, you just need type text which will generate video for you. OpenAI’s Sora text-to-video model is capable of […]
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Random variable is a very important concept in probability, statistics, data science and machine learning, one must learn concept of random variable and related concepts. In this post, I have explained random variable and probability mass function that will help you to have basic understanding of random variable and probability mass function. To understand random
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Servo Motor Servo motors is a special type of motor which can not move 360 degrees, however, it can move 180 degrees. Furthermore, it can be used for making smart dustbin project, smart door lock and robotic arm. In this project, you will learn how to interface Servo motor with Arduino. Below servo moto pins
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Understand Decision Tree Learning Decision tree learning is a supervised learning algorithm, which can be used for classification as well as regression tasks. Moreover, it mimics the human’s decision making process and very effective in several applications. In this post you will know that how to construct a decision tree learning model using Gini Index.
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Basically, there are four types of machine learning algorithms. 1- Supervised Learning Algorithms- In supervised learning, values of features and labels or classes are given. Further, Supervised learning algorithms are of two types. 1.1- Regression- In regression numerical values are predicted. 1.2-Classification In classification, labels are predicted. 2-Unsupervised Learning Algorithms In unsupervised learning, instances have
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Panda’s Series- In the last post, I explained how to create a panda’s series. Further, a pandas series has a lot of you often need to analyze, visualize and clean data. In this post, I will be explaining min(), max(), mean(), median(), and mode functions. min() Function- import pandas as pd lst=[2, 4, 6, 8,
Pandas Series Functions min(), max(), mean(), median() and mode() Read More »
Pandas Series Series is like one dimensional array or a column in a table and can be hold any type data. Furthermore, pandas series can be created in two ways. 1- Create a Pandas Series with Default Indices- In this method, you can create a series by passing list inside Series() method. As a result,
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K-Means clustering is an unsupervised machine learning algorithm which partitions n instances into k clusters by similarity. As K-Means clustering is an unsupervised learning algorithm, therefore instances will not have labels. As K-Means clustering is an unsupervised learning algorithm, training instances will not have labels. Furthermore, to make you understand K-Means clustering algorithm, I will
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K-Nearest Neighbors algorithm (KNN) K-Nearest Neighbors algorithm (KNN) is a very important supervised machine learning algorithm and one should start from this algorithm. It is easy to understand compare to other algorithms and does not involve complex mathematical concepts. In this post, I will explain k-Nearest Neighbors algorithm using Irish flowers data set. From
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Keras Deep learning framwork is very popular among researchers and developers which is built at top of Tensorflow. Furthermore, Keras is very handy and easy to use, creating layers and connections is matter of few lines of code. In this post, I am going to explain, how you can train a simple Deep learning network
Train a Simple Deep Learning Network using Keras and Iris DataSet Read More »